RasID-GA with Simplex Crossover(SPX) for optimization problems

Dong Kyu Sohn, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu

研究成果: Conference contribution

抄録

In this paper, we propose RasID-GA (an abbreviation of Adaptive Random Search with Intensification and Diversification combined with Genetic Algorithm) which improves the ability of diversification searching with Simplex Crossover (SPX). SPX generates the offspring based on uniform probability distribution and uses the M + 1 number of parent vectors, where M is the dimension of the vector. The RasIDGA with Simplex Crossover is compared with parallel RasIDs and GA with Simplex Crossover using 23 different objective functions having no local minima, a small number of local minima and a large number of local minima.

本文言語English
ホスト出版物のタイトル2006 IEEE Congress on Evolutionary Computation, CEC 2006
ページ3021-3028
ページ数8
出版ステータスPublished - 2006 12 1
イベント2006 IEEE Congress on Evolutionary Computation, CEC 2006 - Vancouver, BC, Canada
継続期間: 2006 7 162006 7 21

出版物シリーズ

名前2006 IEEE Congress on Evolutionary Computation, CEC 2006

Conference

Conference2006 IEEE Congress on Evolutionary Computation, CEC 2006
国/地域Canada
CityVancouver, BC
Period06/7/1606/7/21

ASJC Scopus subject areas

  • 人工知能
  • ソフトウェア
  • 理論的コンピュータサイエンス

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